EKS InTec

Anomaly Detection & Prediction
for Industrial Automation

USE CASE

What is Anomaly Detection?

Combine simulation and real-time data to detect deviations early and predict future system behavior.

Detect deviations

Predict future behavior

React early

Impact of Anomaly Detection & Prediction

Future developments visible

Trends are calculated and recognized early.

Deviations detected

Gaps between real and simulated behavior become continuous insight.

Decisions before problems

Teams can act proactively instead of reactively.

Context-based prioritization

Anomalies are ranked by operational relevance.

How it works

Anomaly Detection for
early deviation insight

By comparing live plant behavior with simulation-based expectations, teams can spot anomalies early and forecast how the system will develop. This creates a data-driven foundation for stable, safe, and optimized processes.

Deviation detected
01

Evaluate

Connect real & virtual

Link live data streams with the simulation reference model.

02

Simulate

Monitor continuously

Track process signals and compare against expected patterns.

03

Validate

Flag anomalies

Highlight deviations and classify them by context.

Get in touch

Want to bring simulation
into real operation?

Let’s discuss how EKS can support your use case with connected services, simulation expertise and RF::SUITE.

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